Senior Manager

EXL
8dRemote

About The Position

Develop, deploy, test and maintain technical assets in a highly secure and integrated enterprise computing environment and support functional testing. Design data driven solutions and frameworks (descriptive and predictive) from scratch and consult on potential solutions/storyboards and POCs. Drive business metrics that add to the profitability of the company’s revenue optimization business. Perform quantitative and qualitative analysis such as raw data analysis, statistical modeling, data deep-dives etc. to acquire insights from data. Develop descriptive reporting through to prescriptive analytics. Translate insights into analysis reports and communicate insights back to the stakeholders. Apply next-gen technology to all parts of the analytics lifecycle from data extraction, exploratory data analysis, predictive modeling, data mining and information extraction from unstructured data to visualization and story boarding. Conduct data wrangling using SQL and libraries of R, Python such as Pandas, Pyspark, etc. Use applied machine learning techniques or and knowledge of text mining, image mining, screen scraping and other big data techniques to perform job duties. Train and mentor team members for complete knowledge of technologies. Perform EDA & data visualization to answer pressing business questions. Own all project deliverables and ensure the proper communication between teams and quality levels. Telecommuting permitted from anywhere in the U.S. Position may require travel to various and unanticipated workplaces throughout the United States.

Requirements

  • Experience with SQL
  • Experience with R
  • Experience with Python such as Pandas, Pyspark
  • Experience with applied machine learning techniques
  • Knowledge of text mining, image mining, screen scraping and other big data techniques

Responsibilities

  • Develop, deploy, test and maintain technical assets
  • Design data driven solutions and frameworks
  • Drive business metrics
  • Perform quantitative and qualitative analysis
  • Develop descriptive reporting through to prescriptive analytics
  • Translate insights into analysis reports and communicate insights back to the stakeholders
  • Apply next-gen technology to all parts of the analytics lifecycle
  • Conduct data wrangling using SQL and libraries of R, Python such as Pandas, Pyspark, etc
  • Use applied machine learning techniques or and knowledge of text mining, image mining, screen scraping and other big data techniques to perform job duties
  • Train and mentor team members
  • Perform EDA & data visualization
  • Own all project deliverables and ensure the proper communication between teams and quality levels
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service